updated

app.py

@@ -86,7 +86,7 @@ def clear_api_key() -> str:
 
 
 def _render_latex_from_tailored(tailored: TailoredResume, template_choice: str) -> str:
-    context = tailored.tailored_resume.dict()
+    context = tailored.tailored_resume.model_dump()
     return render_template(template_choice, context)
 
 
@@ -188,11 +188,11 @@ def generate_tailored_resume(
             rendered_latex,
             missing_text,
             questions_text,
-            json.dumps(tailored.keyword_alignment.dict(), indent=2),
+            json.dumps(tailored.keyword_alignment.model_dump(), indent=2),
             "\n".join(logs),
             tex_file_path,
             pdf_file_path,
-            resume.json(indent=2),
+            resume.model_dump_json(indent=2),
         )
     except Exception as exc:
         log(f"Error: {exc}")

llm/pipeline.py

@@ -15,7 +15,7 @@ def extract_resume_json(
     client = build_client(provider, api_key=api_key, model=model)
     prompt = EXTRACTION_PROMPT.format(resume_text=raw_text)
     data = client.chat_json(prompt)
-    resume = Resume.parse_obj(data)
+    resume = Resume.model_validate(data)
     resume.raw_text = raw_text
     return resume
 
@@ -30,7 +30,7 @@ def tailor_resume(
     template_source: str,
 ) -> TailoredResume:
     client = build_client(provider, api_key=api_key, model=model)
-    payload = json.loads(resume.json())
+    payload = resume.model_dump()
     prompt = TAILORING_PROMPT.format(
         resume_json=json.dumps(payload),
         job_description=job_description,
@@ -38,7 +38,7 @@ def tailor_resume(
         template_source=template_source,
     )
     data = client.chat_json(prompt)
-    return TailoredResume.parse_obj(data)
+    return TailoredResume.model_validate(data)
 
 
 def run_pipeline(